Are Your Fraud Prevention Strategies Leaving You Vulnerable to Costly Threats?
Safeguard your revenue and reputation by addressing critical fraud challenges that lead to chargebacks, churn, and compliance strain.
Account Takeovers (ATO)
Phishing, credential stuffing, and SIM swaps let fraudsters hijack cardholder profiles, forcing issuers to absorb chargebacks, emergency reissues, and reputational damage.
Synthetic Identity Fraud
Fraudsters stitch together real and fake data to open new card accounts, creating hard-to-collect balances and inflating portfolio risk models.
False Declines
Rule-based systems flag too many good transactions, frustrating loyal cardholders, driving churn, and costing issuers interchange revenue.
Rising Compliance Pressure
Mandates such as PSD2, AML/KYC, and CFPB audits require granular, auditable controls—stretching issuer resources and slowing product launches.
Empower Security with FraudNet's Innovative Solutions
Strengthen issuer security, reduce fraud losses, and enhance cardholder trust with FraudNet's comprehensive protection solutions.
AI-Native Entity Screening
Verifies IDs and sanctions in real time, blocking fake applications.
Real-Time Transaction Scoring
Millisecond risk scores stop high-risk payments pre-authorization.
Behavioral ATO Shield
Device and biometrics spot unusual logins, forcing step-up auth.
Automated Compliance Hub
Generates audit-ready logs and reports with zero manual effort.
Precision Fraud Detection
FraudNet's cutting-edge adaptive models capture up to 90% of fraud, while reducing false positives by 70%. This ensures your revenue is safeguarded, allowing genuine transactions to proceed smoothly and enhancing cardholder satisfaction without compromising on security or operational efficiency.
Seamless Cardholder Experience
Elevate your cardholder experience with adaptive authentication. Enable seamless transactions for genuine users, enhancing approval rates and boosting customer loyalty. Keep risk controls discreet, ensuring security without sacrificing user satisfaction. Transform your service into a frictionless and trusted platform for your clients.
Lower Operating Costs
Streamline your fraud operations and significantly reduce manual workload by up to 60% with our automated reviews, case routing, and dispute workflows. This efficiency empowers your fraud team to focus on strategic analysis, enhancing your financial security and operational effectiveness.
Impact & Results
Delivering Results that Matter
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
97%
Fewer False Positives
Approve more valid transactions confidently.
88%
Fraud Reduction
Experience double-digit reductions in fraud-related chargebacks
60%
Cost Savings
Save time and resources while securing your revenue.
Why FraudNet
Future-Proof Your Fraud & Risk Program
With an integrated platform designed for precision, agility, and impactful results, enabling your team to make smarter decisions, improve operational efficiency, and fuel your business growth.
Customizable & Scalable
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
End-to-End Platform
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
AI Precision You Can Rely On
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Real-Time Fraud Intelligence
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
Testimonials
Real Success From Real Teams
Fraud.net’s flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements. Their platform has enabled Arvato to increase our agility and significantly reduce fraud attacks.
Director Risk & Fraud, Arvato
FraudNet's combination of customized machine learning and flexible rules management has been transformative. We've achieved dramatic efficiency gains while maintaining robust fraud protection - a game-changer as we navigate evolving regulatory requirements.
Head of Financial Crime, Countingup
The great usability of Fraud.net is night and day when comparing it to our prior risk prevention platform. Reporting is also faster, more straightforward, and more impactful. With Fraud.net, we can easily visualize and share findings, providing our leadership with a clear understanding of the return-on-investment for our activities in real-time.
Fraud Manager, Global Financial Institution
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FAQs
What is issuer AI fraud automation?
Issuer AI fraud automation refers to the use of artificial intelligence by financial institutions to detect and prevent fraudulent activities in real-time. It involves analyzing transaction data, user behavior, and other relevant information to identify patterns and anomalies that may indicate fraudulent activity. By leveraging machine learning algorithms, these systems can adapt to new fraud tactics and improve their detection accuracy over time, helping issuers reduce financial losses and enhance customer trust.
How does issuer AI fraud automation improve fraud detection?
Issuer AI fraud automation improves fraud detection by utilizing advanced machine learning models that analyze vast amounts of transaction data to identify suspicious patterns and anomalies. Unlike traditional rule-based systems, AI-driven solutions can adapt to evolving fraud tactics and continually refine their algorithms for higher accuracy. This dynamic approach allows for real-time analysis and decision-making, significantly reducing false positives and enabling issuers to respond swiftly to potential threats, thus enhancing overall fraud prevention measures.
What are the benefits of using AI for fraud detection for issuers?
The benefits of using AI for fraud detection for issuers include enhanced accuracy in identifying fraudulent activities, reduced false positives, and the ability to process and analyze large volumes of data in real-time. AI systems can swiftly adapt to new fraud patterns, ensuring that detection capabilities remain effective against emerging threats. Additionally, these systems can improve operational efficiency, lower financial losses from fraud, and enhance customer satisfaction by minimizing legitimate transaction disruptions.
How does AI fraud automation handle false positives?
AI fraud automation handles false positives by employing sophisticated machine learning models that continuously learn from past decisions and outcomes. By analyzing patterns in both fraudulent and legitimate transactions, these systems refine their algorithms to improve accuracy over time. Additionally, AI systems can incorporate feedback loops, allowing human analysts to review flagged transactions and provide input, further enhancing the model's ability to distinguish between genuine activities and fraud, thus reducing the occurrence of false positives.
What challenges do issuers face when implementing AI fraud automation?
Issuers face several challenges when implementing AI fraud automation, including the need for substantial data to train models effectively, ensuring data privacy and compliance with regulations, and integrating AI systems with existing legacy infrastructure. Additionally, there may be a learning curve for staff to understand and trust AI-driven insights, as well as potential resistance to change from traditional fraud detection methods. Continuous monitoring and updating of AI models are also necessary to maintain their effectiveness against evolving fraud tactics.
How does issuer AI fraud automation maintain customer trust?
Issuer AI fraud automation maintains customer trust by providing a more secure and reliable financial experience. By accurately detecting and preventing fraudulent activities, AI systems minimize the risk of unauthorized transactions and reduce the likelihood of account breaches. This proactive approach helps protect customers' financial assets and personal information. Additionally, by reducing false positives, AI systems ensure that legitimate transactions are processed smoothly, enhancing customer satisfaction and confidence in the issuer's ability to safeguard their accounts.